Triple

T3137956
Position Surface form Disambiguated ID Type / Status
Subject Manabí Province E65578 entity
Predicate containsCity P294 FINISHED
Object El Carmen
El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
 E329467 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: El Carmen | Statement: [Manabí Province, containsCity, El Carmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: El Carmen
Context triple: [Manabí Province, containsCity, El Carmen]
  • A. Candelaria
    Candelaria is a coastal town and important pilgrimage center on the island of Tenerife in Spain’s Canary Islands, known for the Basilica of Our Lady of Candelaria.
  • B. Candelaria
    Candelaria is a municipality in western Cuba known for its agricultural activities and rural communities within Artemisa Province.
  • C. Candelaria
    Candelaria is a barrio (district) of the municipality of Toa Baja in Puerto Rico, functioning as one of its primary local administrative and residential communities.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Loíza
    Loíza is a coastal municipality in Puerto Rico known for its rich Afro-Puerto Rican culture, traditional Bomba music and dance, and vibrant religious and folk festivals.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: El Carmen
Triple: [Manabí Province, containsCity, El Carmen]
Generated description
El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: El Carmen
Target entity description: El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
  • A. Candelaria
    Candelaria is a coastal town and important pilgrimage center on the island of Tenerife in Spain’s Canary Islands, known for the Basilica of Our Lady of Candelaria.
  • B. Candelaria
    Candelaria is a municipality in western Cuba known for its agricultural activities and rural communities within Artemisa Province.
  • C. Candelaria
    Candelaria is a barrio (district) of the municipality of Toa Baja in Puerto Rico, functioning as one of its primary local administrative and residential communities.
  • D. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • E. Loíza
    Loíza is a coastal municipality in Puerto Rico known for its rich Afro-Puerto Rican culture, traditional Bomba music and dance, and vibrant religious and folk festivals.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada574509c81908a88bb10ea35516d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f8a1a2081909081c36075d4ddbe completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2137b30508190a5a9a439d77ae3bb completed March 12, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69b21413338c8190997d0f2f11f41008 completed March 12, 2026, 1:17 a.m.
Created at: March 8, 2026, 3:05 p.m.